基于知乎平台内容挖掘的元宇宙公众感知研究

Study of Public Perception of the Metaverse Based on Content Mining on Zhihu Platform

[目的/意义]通过分析公众对元宇宙中个体、业界、政府3方面内容的感知,针对性地为个体、企业、政府参与元宇宙生态建设提供建议。[方法/过程]参考三螺旋模型,构建基于个体—业界—政府维度的元宇宙公众感知分析框架,采用改进LDA和BERT算法,基于知乎问答分析公众对元宇宙中个体、业界、政府3方面内容的感知主题,主题的热度、情感及相关演化。[结果/结论]公众在个体、业界、政府维度上的感知既有差异又有联系。演化上,公众关注点逐渐细化深入,态度受体验、舆论影响显著,但趋于理性。通过挖掘不同维度的热点、潜力点及问题,能针对性地为不同主体提供建议。

[Purpose/Significance]Through analyzing the public's perception of individual,industry,and government aspects in the metaverse,this paper provides targeted recommendations for individual,enterprise and government to better construct the metaverse ecosystem.[Method/Process]Referring to the Triple Helix Model,the paper constructed an analysis framework for public perception of the metaverse based on the individual-industry-government dimensions.Based on Zhihu Q&A data,the paper used improved LDA and BERT algorithms to analyze public perceptions of individual,industry,and government aspects in the metaverse,including public's concerns,topic hotness,sentiment and their evolution.[Result/Conclusion]The public's perception in the dimensions of individual,industry and government are different and related.From the perspective of evolution,the public's concerns are gradually refined and deepened,and their attitudes are significantly influenced by experience and public opinion,but are gradually becoming more rational.Through mining the hotspots,potential points,and existing issues in different dimensions,the paper provides targeted recommendations for different participants.